Standard computer implementations of Dantzig's simplex method for linear programming are based upon forming the inverse of the basic matrix and updating the inverse ...

Mixed Integer Linear Programming (MILP) is essential for modeling complex decision-making problems but faces challenges in computational tractability and requires expert formulation. Current deep ...

Many important practical computations, such as scheduling, combinatorial, and optimization problems, use techniques known as integer programming to find the best combination of many variables. In ...

The three-body problem is a physics conundrum that has boggled scientists since Isaac Newton's day. But what is it, why is it so hard to solve and is the sci-fi series of the same name really possible ...

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Integer linear programming can help find the answer to a variety of real-world problems. Now researchers have found a much faster way to do it. The traveling salesperson problem is one of the oldest ...

QSopt_ex - an exact linear programming solver. This is a fork adding improvements to the build system, library and a Python interface.

Resolves linear programming problems (LP) with the simplex algorithm showing all the intermediate steps. With a basic interface (Glade & GTK+) input and Latex (beamer) Output.

Abstract: The linear semidefinite programming problem is considered. The primal and dual simplex-like algorithms are proposed for its solution. Both algorithms are generalizations of well-known ...

Abstract: This study proposes a novel technique for solving linear programming problems in a fully fuzzy environment. A modified version of the well-known dual simplex method is used for solving fuzzy ...